Health Data Analytics Engineer

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Requirements:

• 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
• You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
• You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
• You have strong experience in data modeling and their implementation in production  data pipelines.
• You are comfortable with the essentials of data orchestration

Responsibilities:

• Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
• Integrating and transforming customer data to conform to our data specifications and standards.
• Collaborating with cross-functional teams to translate data and business requirements into effective data models.
• Configuring and improving data pipelines that integrate and connect the data models.
• Conducting QA and testing on data models to ensure data accuracy, reliability, and performance.
• Applying industry standards and best practices around data modeling, testing, and data pipelining.
• Participating in a rota with other engineers to help investigate and resolve data related issues.